vicuna-13B-v1.3.0-GPTQ: benchmark results
TheBloke's GPTQ publication of LmSys' Vicuna 13B v1.3, whose original release is lmsys/vicuna-13b-v1.3. Conversion publication is credited separately from the original model creator. Quantization method does not establish a single effective bit width or exact evaluated branch for this catalog row. Provider: TheBloke. Access: Open.
Aggregate Rating 1319 ± 15, rank #8345 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Machine Learning | 43.75 | Accuracy (%) | 86.9 |
| MMLU-by-task - Nutrition | 63.07 | Accuracy (%) | 85.3 |
| MMLU-by-task - TruthfulQA MC1 | 35.86 | Accuracy (%) | 84.5 |
| MMLU-by-task - World Religions | 77.78 | Accuracy (%) | 80.8 |
| MMLU-by-task - College Computer Science | 47 | Accuracy (%) | 80.1 |
| MMLU-by-task - TruthfulQA MC2 | 50.88 | Accuracy (%) | 80 |
| MMLU-by-task - Marketing | 81.2 | Accuracy (%) | 78.8 |
| MMLU-by-task - Professional Law | 42.5 | Accuracy (%) | 77.7 |
| MMLU-by-task - College Chemistry | 41 | Accuracy (%) | 77.2 |
| MMLU-by-task - Computer Security | 68 | Accuracy (%) | 74.9 |
| MMLU-by-task - Business Ethics | 55 | Accuracy (%) | 74.7 |
| MMLU-by-task - High School Chemistry | 41.87 | Accuracy (%) | 74.7 |
Interactive version: theaggregate.ai/model?slug=vicuna-13b-v1-3-0-gptq · How It Works · Data refreshed daily, snapshot 2026-11-08.